Method and System for Detecting And/Or Classifying Cancerous Cells in a Cell Sample

1. A method for classifying cells in a cell sample comprising the following steps: providing a cell sample; obtaining holographic information from said cell sample by digital holographic microscopy (DHM); deriving at least one cellular parameter from said holographic information, and; classifying said cells of cell sample based on the at least one cellular parameter derived from holographic information of the cell sample obtained from the DHM; whereby in that said classification occurs based on said cellular parameters; characterized in that the at least one cellular parameter comprises a characteristic of nucleoli of the cells.

2. A method according to claim 1 , said at least one cellular parameter comprising optical height of nucleoli of the cells.

3. A method according to claim 2 , said at least one cellular parameter further comprising any ratio of the optical height of the nucleoli.

4. A method according to claim 1 , characterized in that the cell sample is a liquid cell sample.

5. A method according to claim 4 , wherein the cells are held in suspension in the liquid cell sample during the obtaining of the holographic information.

6. A method according to claim 1 , characterized in that said at least one cellular parameter derived from obtained holographic information further comprises the optical nuclear height.

7. A method according to claim 1 , characterized in that said at least one cellular parameter derived from obtained holographic information further comprises cell nucleus diameter, chromatin texture, cell size, cell form and cell morphology.

8. A method according to claim 1 , characterized in that the classification occurs by appointing a Scoring Factor to said cells of the cell sample, based on said cellular parameters.

9. A method according to claim 1 , comprising a step of detecting cancerous cells in the cell sample based on said cellular parameters.

10. A method according to claim 1 , characterized in that classifying said cells of the cell sample is based upon comparison of said at least one cellular parameter and a threshold database.

11. A method according to claim 1 , further comprising the step of performing an extra analysis, whereby the extra analysis comprises screening the cell sample for presence of topoisomerase 2 alpha.

12. A method according to claim 1 , further comprising the step of performing an extra analysis, whereby the extra analysis comprises screening the cell sample for presence of one or more HPV genotypes and/or HPV viral proteins and/or one or more of the following list: p16 (INK4a), Ki67, topoisomerase 2 alpha, MCM2; said one or more HPV genotypes comprising one or more of the following list: HPV genotype 6, HPV genotype 11, HPV genotype 16, HPV genotype 18, HPV genotype 31, HPV genotype 40, HPV genotype 58, HPV genotype 58, HPV genotype c*31, HPV genotype 33, HPV genotype 54, HPV genotype c*33, HPV genotype 35, HPV genotype 39, HPV genotype 40, HPV genotype 42, HPV genotype 43, HPV genotype 44, HPV genotype 45, HPV genotype 51, HPV genotype 52, HPV genotype 53, HPV genotype 56, HPV genotype 74, HPV genotype c*56, HPV genotype 58, HPV genotype c*58, HPV genotype 59, HPV genotype 66, HPV genotype 68, HPV genotype 70, HPV c*68; said HPV viral proteins comprising one or more of the following list: HPV viral proteins E1-E7, L1-L2.

13. A method according to claim 1 , further comprising the step of identifying the cellular type of said cells in the sample, prior to said classifying cells.

14. A method according to claim 1 , characterized in that said cell sample is a cervical sample.

15. A system for the classification of cells in a cell sample comprising a digital holographic microscope (DHM) comprising illumination means, an interferometer and a digital recording device connected to a server; at least one exchangeable sample vial or sample carrier comprising a cell sample; and a computer or printer capable of providing a digital report related to said cell sample, wherein the digital report related to said cell sample comprises classification of said cells of the cell sample, wherein the classification of said cells is based on at least one cellular parameter derived from holographic information of the cell sample obtained from the DHM, and wherein the at least one cellular parameter comprises a characteristic of nucleoli of the cells.

16. A system according to claim 15 , whereby said server is provided with algorithms for the comparison of said cellular parameters with a threshold database.

17. A system according to any of the claim 15 , whereby said exchangeable sample vial or sample carrier comprises identifying indicia.

18. A system according to claim 17 , whereby said identifying indicia comprise an RFID.

19. A system according to claim 15 , whereby the cell sample is a liquid cell sample.

20. A system according to claim 19 , whereby the cells are held in suspension in the liquid cell sample.

21. A method for updating and/or improving a database comprising thresholds linked to holographic information, comprising the steps of: obtaining holographic information linked to a sample characterized in that said holographic information is obtained using digital holographic microscopy (DHM); deriving at least one parameter from said holographic information; comparing said parameter to said thresholds stored in database; classifying objects in the sample based on said comparison of said parameter, wherein said parameter is derived from holographic information of the sample obtained using DHM, and said thresholds; reporting said classification of said objects to a practitioner; obtaining feedback of said practitioner with regards to said classification; and updating said database on the basis of said feedback; characterized in that said at least one parameter comprises optical height of nucleoli of cells in the sample.

22. A method according to claim 21 , storing identification information linked to said sample.

23. A method according to claim 22 , whereby said sample is a cell sample, more preferably a liquid cell sample.

24. A database of objects comprising: holographic information obtained from a sample comprising said objects using a digital holographic microscope and/or parameters derived thereof; thresholds and queries related to said thresholds for the analysis of said holographic information and/or parameters; classifications of the objects derived from said holographic information obtained from the sample using the digital holographic microscope and/or parameters derived thereof; image identification; identification information; characterized in that said thresholds and queries of database are updated based upon receiving feedback information from a third party, and whereby the holographic information and/or parameters comprises a characteristic of nucleoli of cells in the sample.

25. A database according to claim 24 , whereby said characteristic comprises optical height of the nucleoli of the cells in the sample.

26. A database according to claim 24 , whereby said sample is a cell sample, more preferably a liquid cell sample.